❇️ Press release: The Nobel Prize in Physics 2019:
https://www.nobelprize.org/prizes/physics/2019/press-release/

💠 Illustrations:

🔶 Background radiation
https://www.nobelprize.org/uploads/2019/10/fig2_fy_en_backgroundradiation.pdf

🔶 Star chart
https://www.nobelprize.org/uploads/2019/10/fig3_fy_en_starChart.pdf

🔶 Radial velocity method
https://www.nobelprize.org/uploads/2019/10/fig4_fy_en_radialvelocitymethod.pdf

🔶 Transit photometry
https://www.nobelprize.org/uploads/2019/10/fig5_fy_en_transitPhotometry.pdf

🔶 Milky Way
https://www.nobelprize.org/uploads/2019/10/fig6_fy_en_milkyWay.pdf

‍‍ ‍‍ ‍‍ ‍‍ 💎 Best of Towards Data Science - No.1 💎

Creating a Weapon Detector in 5 simple steps
Object detection using mask-RCNN on custom dataset
Rahul Agarwal 7 min read
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Build an Artificial Neural Network(ANN) from scratch:
Part-1
This article focused on building an Artificial Neural Network using
numpy python library.
Nagesh Singh Chauhan 11 min read
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How to Create an Amazing Data Science Portfolio
To showcase your work and stand out
Tyler Folkman 5 min read
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Feature Extraction Techniques
An end to end guide on how to reduce a dataset dimensionality using
Feature Extraction Techniques such as: PCA, ICA, LDA, LLE, t-SNE
and…
Pier Paolo Ippolito 11 min read
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Trading Toolbox
Python Trading Toolbox: Weighted and Exponential Moving Averages
Stefano Basurto 9 min read
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How I Learned Data Science And The 1 Course That
Changed Everything
If you don’t know where to start
Oscar Kwok 7 min read
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Unboxing machine learning: feature importance for
black-box models
Because life is better when we understand things
Gonzalo Ferreiro Volpi 5 min read
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Deeper into Deep Neural Networks
Deep Neural Network - Artificial Intelligence
Ashagoyaleduonix 14 min read
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Why I’m Taking a Machine Learning Class After
Spending Months as a Data…
You would think 480 hours would be enough for me.
Taylor Fogarty 3 min read
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How Exactly UMAP Works
And why exactly it is better than tSNE
Nikolay Oskolkov 16 min read
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My Shortlist of AI & ML Stuff: Books, Courses and
More
Never stop learning new things…
Oleksii Kharkovyna 9 min read
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Time Series Analysis with Deep Learning : Simplified
Take the crash course in the ‘whys’ and ‘whens’ of using Deep
Learning in Time Series Analysis.
Prakhar Ganesh 5 min read
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How Many Samples Do I Need in My Test?
What you need to know to calculate a minimum test size for a binomial
test — and how to calculate it
Marguerite Siboni 6 min read
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How to Use Convolutional Neural Networks for Time
Series Classification
A gentle introduction, state-of-the-art model overview, and a hands-on
example.
Margarita Granat 7 min read
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How to build your career in Artificial Intelligence?
Build your own Roadmap to get into AI
Ankit Rathi 6 min read
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Simple Linear Regression From Scratch in Numpy
Machine Learning doesn’t have to be complex — if explained in simple
terms.
Dario Radečić 5 min read
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Predicting Food Serving Sizes with a Feed-Forward
Neural Network
Applying data science and machine learning to the food industry R&D
process
Jeremy Ondov 9 min read
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How a Neural network found a loophole in my game?
Evolved an AI to play a game, but it chose to mock it!
Siddharth Maurya 13 min read
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Get your computer ready for machine learning: How,
what and why you should use…
Anaconda? What are we playing? Snakes and ladders? No. We’re
getting ready our computer ready for machine learning.
Daniel Bourke 17 min read
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5 reasons why everybody can and should learn Data
Science
Data Scientist is officially the sexiest job of the 21st century. Data
Scientists are well paid, have good work-life balance and problems…
Magdalena Konkiewicz 4 min read

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Key Ideas in Document Embedding; The problem with metrics is a big problem for AI

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❇️ 10 Free Top Notch Natural Language Processing Courses; How to Become a (Good) Data Scientist

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❇️ Ants Lead AI-based Transportation